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2 дня назад

Computer Architect (AI)

350 000 - 500 000$
Формат работы
remote (только USA)/onsite
Тип работы
fulltime
Английский
b2
Страна
US/Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Computer Architect (AI): Defining next-generation compute engines for advanced ML/AI workloads with an accent on instruction-set architecture, memory subsystems, interconnects, and quantization strategies. Focus on translating emerging model requirements into hardware specifications, evaluating area, timing, and power tradeoffs, and supporting first-silicon bring-up and post-silicon debug.

Location: Mountain View, CA; San Francisco, CA; Houston, TX; Santa Clara, CA; the San Francisco Bay Area; Berkeley, CA; Munich, Bavaria, Germany; or Remote (U.S.)

Salary: $350,000–$500,000

Company

hirify.global is partnering with a well-funded AI hardware startup developing compute technology for advanced models.

What you will do

  • Define instruction-set architectures for compute cores, memory subsystems, and interconnects.
  • Derive architectural requirements from ML/AI workloads and emerging model trends.
  • Write detailed architectural specifications and structured interface definitions.
  • Specify numeric formats and quantization strategies for AI workloads.
  • Evaluate area, timing, power, latency, throughput, and scalability tradeoffs.
  • Collaborate with research, software, RTL, and physical design teams through architecture reviews, test planning, first-silicon bring-up, and post-silicon debug.

Requirements

  • Strong computer architecture background and deep understanding of modern compute systems.
  • At least 3 years of experience translating workloads or algorithms into hardware architectures.
  • Experience evaluating hardware cost, area, timing, and power tradeoffs.
  • Knowledge of numeric formats, quantization techniques, and precision tradeoffs for ML workloads.
  • Programming and performance optimization experience, including structured interfaces and bit-level encodings using constructs such as structs and tagged unions.
  • Strong written and verbal communication skills and the ability to work cross-functionally in a fast-paced environment.

Nice to have

  • Familiarity with VLIW, SIMD, or vector execution models.
  • Experience designing custom ML silicon or AI systems.

Culture & Benefits

  • Work with a world-class team that has a track record of shipping successful products.
  • Join a startup that has raised more than $600 million.
  • Contribute to an execution-driven environment focused on developing a fundamentally new chip architecture.

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